Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Access Policy transformation
  6. Aggregator transformation
  7. Cleanse transformation
  8. Data Masking transformation
  9. Data Services transformation
  10. Deduplicate transformation
  11. Expression transformation
  12. Filter transformation
  13. Hierarchy Builder transformation
  14. Hierarchy Parser transformation
  15. Hierarchy Processor transformation
  16. Input transformation
  17. Java transformation
  18. Java transformation API reference
  19. Joiner transformation
  20. Labeler transformation
  21. Lookup transformation
  22. Machine Learning transformation
  23. Mapplet transformation
  24. Normalizer transformation
  25. Output transformation
  26. Parse transformation
  27. Python transformation
  28. Rank transformation
  29. Router transformation
  30. Rule Specification transformation
  31. Sequence Generator transformation
  32. Sorter transformation
  33. SQL transformation
  34. Structure Parser transformation
  35. Transaction Control transformation
  36. Union transformation
  37. Velocity transformation
  38. Verifier transformation
  39. Web Services transformation

Transformations

Transformations

Connections in a Data Masking transformation

Connections in a Data Masking transformation

To use a custom dictionary connection or storage connection in a masking technique, you must add the connection to the Data Masking transformation.
You can use custom flat file or relational dictionaries. Unique substitution masking techniques also require a storage connection for source- to dictionary-value mapping.
Add the connections on the
Masking Rules
tab of the data masking transformation. When you configure a masking technique for a column, you can use the dictionaries and storage connection that you specify on the Masking Rules tab.
The following connection fields appear on the Masking Rules tab:
  • Relational Dictionary Connection
  • Flat File Dictionary Connection
  • Storage Connection
If you export a mapping created before the April 2022 release, the Data Masking transformation in the mapping might not include the dictionary and storage connection information. When you import the mapping, the fields appear blank. To avoid this issue when you import the mapping into an environment with the April 2022 release or later, open and save the mapping before you export the mapping. The exported mapping displays the dictionary and storage connection information when imported. The connections also appear on the
Uses
tab of the
Show Dependencies
page.
You might need to make a change to the mapping to enable the
Save
button.

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